The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-17"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "14055299 (up from 13805296 yesterday: 1.81 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "596518 (up from 589911 yesterday: 1.12 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 4253727

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.24



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 3647715 71558 2.00 1180161 139266 908 0.66 3.82
Brazil 2046328 34177 1.70 771354 77851 1163 1.52 3.80
India 1039084 35252 3.51 530131 26273 671 2.62 2.53
Russia 758001 6389 0.85 138065 12106 186 1.56 1.60
Peru 345537 3951 1.16 73173 12799 184 1.46 3.70
South Africa 337594 13373 4.12 213004 4804 135 2.89 1.42
Mexico 331298 7257 2.24 122906 38310 736 1.96 11.56
Chile 326439 2741 0.85 63079 8347 1057 14.50 2.56
United Kingdom 294803 687 0.23 -16033 45318 114 0.25 15.37
Iran 269440 2379 0.89 51716 13791 183 1.34 5.12
Pakistan 261917 4003 1.55 63034 5522 96 1.77 2.11
Spain 260255 1400 0.54 12350 28420 4 0.01 10.92
Saudi Arabia 245851 2613 1.07 71274 2407 37 1.56 0.98
Italy 243967 231 0.09 4006 35028 11 0.03 14.36
Turkey 217799 926 0.43 23288 5458 18 0.33 2.51
France 211943 841 0.40 12470 30155 14 0.05 14.23
Germany 202045 595 0.30 8009 9088 1 0.01 4.50
Bangladesh 199357 3034 1.55 68883 2547 51 2.04 1.28
Colombia 182140 16971 10.27 101329 6288 124 2.01 3.45
Argentina 119301 4518 3.94 63958 2178 66 3.12 1.83
Canada 111559 415 0.37 6930 8884 9 0.10 7.96
Qatar 105898 421 0.40 13114 153 1 0.66 0.14
Iraq 88171 2023 2.35 46978 3616 94 2.67 4.10
Egypt 86474 703 0.82 23719 4188 68 1.65 4.84
China 85314 0 0.00 589 4644 0 0.00 5.44
Indonesia 83130 1462 1.79 31703 3957 84 2.17 4.76
Sweden 77281 404 0.53 12144 5619 26 0.46 7.27
Ecuador 72444 1079 1.51 18588 5250 43 0.83 7.25
Kazakhstan 68703 1808 2.70 48384 375 0 0.00 0.55
Belarus 65782 159 0.24 5069 491 6 1.24 0.75
Oman 64193 1619 2.59 28159 298 8 2.76 0.46
Belgium 63499 261 0.41 2393 9800 5 0.05 15.43
Philippines 63001 1735 2.83 28928 1660 17 1.03 2.63
Ukraine 58466 826 1.43 16491 1473 11 0.75 2.52
Kuwait 58221 553 0.96 14518 404 2 0.50 0.69
United Arab Emirates 56422 293 0.52 9449 337 2 0.60 0.60
Bolivia 56102 1946 3.59 26679 2049 65 3.28 3.65
Netherlands 51682 110 0.21 1469 6157 1 0.02 11.91
Panama 51408 1035 2.05 21503 1038 38 3.80 2.02
Dominican Republic 50113 1370 2.81 20349 942 1 0.11 1.88
Portugal 48077 312 0.65 7211 1682 3 0.18 3.50
Israel 47459 1400 3.04 24659 392 8 2.08 0.83
Singapore 47453 327 0.69 4498 27 0 0.00 0.06
Poland 39407 353 0.90 6012 1612 7 0.44 4.09
Romania 35802 799 2.28 10105 1988 17 0.86 5.55
Bahrain 35473 389 1.11 10668 124 3 2.48 0.35
Nigeria 35454 600 1.72 12156 772 3 0.39 2.18
Afghanistan 35229 159 0.45 4778 1147 34 3.05 3.26
Armenia 34001 442 1.32 10754 620 13 2.14 1.82
Guatemala 33809 870 2.64 17981 1443 39 2.78 4.27
Switzerland 33382 92 0.28 1896 1969 0 0.00 5.90
Honduras 31745 878 2.84 15751 857 22 2.63 2.70
Azerbaijan 26636 471 1.80 11267 341 7 2.10 1.28
Ghana 26572 447 1.71 10738 144 5 3.60 0.54
Ireland 25730 32 0.12 316 1752 3 0.17 6.81
Japan 24104 594 2.53 5942 985 0 0.00 4.09
Algeria 21948 593 2.78 9263 1057 5 0.48 4.82
Moldova 20494 230 1.14 4718 675 9 1.35 3.29
Serbia 20109 392 1.99 6544 452 10 2.26 2.25
Austria 19439 169 0.88 1917 711 0 0.00 3.66
Nepal 17445 101 0.58 5690 40 1 2.56 0.23
Morocco 16726 181 1.09 5093 264 1 0.38 1.58
Cameroon 16157 0 0.00 3565 373 0 0.00 2.31
Uzbekistan 15607 541 3.59 8180 79 4 5.33 0.51
Czechia 13742 130 0.96 2704 358 3 0.85 2.61
Korea, South 13711 39 0.29 1058 294 1 0.34 2.14
Cote d’Ivoire 13696 142 1.05 4957 87 0 0.00 0.64
Denmark 13374 49 0.37 499 611 1 0.16 4.57
Kyrgyzstan 13101 603 4.82 8655 173 6 3.59 1.32
Kenya 12062 389 3.33 6529 222 5 2.30 1.84
Australia 11441 208 1.85 3840 118 2 1.72 1.03
El Salvador 11207 250 2.28 5690 309 11 3.69 2.76
Venezuela 11191 337 3.10 6412 107 3 2.88 0.96
Sudan 10527 0 0.00 1270 668 0 0.00 6.35

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 405551 776 0.19 14331 32463 17 0.05 8.00 20847.13 1668.74 1 in 48
California 373259 8553 2.35 166415 7603 114 1.52 2.04 9446.67 192.42 1 in 106
Florida 327241 11466 3.63 204281 4805 128 2.74 1.47 15236.29 223.72 1 in 66
Texas 317768 11914 3.90 177595 3820 163 4.46 1.20 10959.07 131.74 1 in 91
New Jersey 176551 50 0.03 5967 15684 19 0.12 8.88 19876.97 1765.78 1 in 50
Illinois 160509 1427 0.90 20218 7465 13 0.17 4.65 12666.61 589.10 1 in 79
Arizona 138523 3910 2.90 71864 2583 91 3.65 1.86 18191.06 339.20 1 in 55
Georgia 135192 3905 2.97 62197 3132 27 0.87 2.32 12733.03 294.99 1 in 79
Massachusetts 112879 298 0.26 4809 8402 22 0.26 7.44 16242.74 1209.01 1 in 62
Pennsylvania 104079 1004 0.97 15219 7004 20 0.29 6.73 8129.91 547.10 1 in 123
North Carolina 95570 1862 1.99 36412 1623 16 1.00 1.70 9112.25 154.75 1 in 110
Louisiana 88590 2179 2.52 33821 3509 24 0.69 3.96 19056.56 754.82 1 in 52
Michigan 80593 754 0.94 11264 6355 7 0.11 7.89 8069.91 636.34 1 in 124
Maryland 76371 707 0.93 10256 3359 12 0.36 4.40 12632.33 555.60 1 in 79
Virginia 75433 1002 1.35 14863 2013 6 0.30 2.67 8837.54 235.84 1 in 113
Tennessee 73819 2279 3.19 34375 815 19 2.39 1.10 10803.03 119.27 1 in 93
Ohio 72280 1679 2.38 23642 3112 9 0.29 4.31 6183.54 266.23 1 in 162
South Carolina 66060 1977 3.09 35725 1096 26 2.43 1.66 12830.39 212.87 1 in 78
Alabama 63091 2003 3.28 28908 1265 35 2.85 2.01 12867.35 258.00 1 in 78
Indiana 54813 733 1.36 10673 2803 8 0.29 5.11 8141.89 416.36 1 in 123
Connecticut 47893 143 0.30 1834 4396 7 0.16 9.18 13433.14 1233.00 1 in 74
Washington 45067 754 1.70 14212 1434 7 0.49 3.18 5918.27 188.32 1 in 169
Minnesota 45013 666 1.50 10397 1573 7 0.45 3.49 7981.55 278.92 1 in 125
Mississippi 40829 1032 2.59 15763 1332 24 1.83 3.26 13718.74 447.56 1 in 73
Wisconsin 40507 880 2.22 13760 833 2 0.24 2.06 6957.06 143.07 1 in 144
Colorado 39326 618 1.60 7546 1751 6 0.34 4.45 6828.93 304.06 1 in 146
Iowa 37903 553 1.48 10186 785 4 0.51 2.07 12013.36 248.81 1 in 83
Nevada 33295 1380 4.32 18055 637 11 1.76 1.91 10809.52 206.81 1 in 93
Utah 32572 727 2.28 12522 235 1 0.43 0.72 10159.83 73.30 1 in 98
Arkansas 31762 648 2.08 13022 353 12 3.52 1.11 10524.80 116.97 1 in 95
Missouri 31738 865 2.80 11522 1125 4 0.36 3.54 5171.22 183.30 1 in 193
Oklahoma 24140 700 2.99 11793 445 7 1.60 1.84 6100.63 112.46 1 in 164
Nebraska 22361 227 1.03 3837 301 2 0.67 1.35 11559.61 155.60 1 in 87
Kentucky 21605 522 2.48 6746 658 8 1.23 3.05 4835.85 147.28 1 in 207
Kansas 21388 571 2.74 7926 306 1 0.33 1.43 7341.47 105.04 1 in 136
Rhode Island 17793 82 0.46 1132 990 2 0.20 5.56 16795.97 934.53 1 in 60
New Mexico 16456 318 1.97 5048 565 3 0.53 3.43 7848.04 269.45 1 in 127
Oregon 13802 293 2.17 5984 254 5 2.01 1.84 3272.37 60.22 1 in 306
Idaho 13753 619 4.71 8888 118 4 3.51 0.86 7674.39 65.85 1 in 130
Delaware 13337 223 1.70 2320 521 0 0.00 3.91 13696.34 535.04 1 in 73
Puerto Rico 11120 546 5.16 4198 177 5 2.91 1.59 3481.86 55.42 1 in 287
District of Columbia 11115 39 0.35 930 577 3 0.52 5.19 15749.23 817.57 1 in 63
South Dakota 7789 95 1.23 1254 116 1 0.87 1.49 8804.52 131.12 1 in 114
New Hampshire 6165 26 0.42 494 395 0 0.00 6.41 4534.05 290.50 1 in 221
North Dakota 4792 124 2.66 1371 90 1 1.12 1.88 6288.20 118.10 1 in 159
West Virginia 4783 126 2.71 2053 100 1 1.01 2.09 2676.33 55.96 1 in 374
Maine 3636 38 1.06 534 115 1 0.88 3.16 2704.93 85.55 1 in 370
Montana 2366 135 6.05 1537 37 2 5.71 1.56 2213.74 34.62 1 in 452
Wyoming 2069 43 2.12 701 24 0 0.00 1.16 3574.89 41.47 1 in 280
Alaska 1734 41 2.42 901 17 0 0.00 0.98 2370.33 23.24 1 in 422
Hawaii 1334 23 1.75 468 23 1 4.55 1.72 942.18 16.24 1 in 1061
Vermont 1334 9 0.68 136 56 0 0.00 4.20 2137.86 89.75 1 in 468

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 New York 4999449 405551 8.11 1318132 14331 1.09 256994.03
2 California 6044099 373259 6.18 2272785 166415 7.32 152967.83
3 Florida 2880768 327241 11.36 1111883 204281 18.37 134128.10
4 Texas 2767321 317768 11.48 1069987 177595 16.60 95438.42
5 New Jersey 1768928 176551 9.98 422256 5967 1.41 199154.49
6 Illinois 2167474 160509 7.41 675469 20218 2.99 171046.77
7 Arizona 764968 138523 18.11 285145 71864 25.20 100456.83
8 Georgia 1198678 135192 11.28 427650 62197 14.54 112897.26
9 Massachusetts 1014587 112879 11.13 200502 4809 2.40 145994.18
10 Pennsylvania 999390 104079 10.41 280309 15219 5.43 78065.21
11 North Carolina 1343974 95570 7.11 507249 36412 7.18 128142.95
12 Louisiana 1043940 88590 8.49 365934 33821 9.24 224561.47
13 Michigan 1425506 80593 5.65 443800 11264 2.54 142738.20
14 Maryland 708216 76371 10.78 201819 10256 5.08 117144.14
15 Virginia 876704 75433 8.60 270241 14863 5.50 102712.44
16 Tennessee 1150672 73819 6.42 408640 34375 8.41 168394.95
17 Ohio 1116124 72280 6.48 394572 23642 5.99 95484.17
18 South Carolina 553375 66060 11.94 218704 35725 16.33 107478.29
19 Alabama 563115 63091 11.20 184792 28908 15.64 114846.78
20 Indiana 604635 54813 9.07 150745 10673 7.08 89812.14
21 Connecticut 629969 47893 7.60 213107 1834 0.86 176695.17
22 Washington 753174 45067 5.98 247379 14212 5.75 98908.02
23 Minnesota 819511 45013 5.49 262233 10397 3.96 145312.85
24 Mississippi 371464 40829 10.99 99570 15763 15.83 124813.64
25 Wisconsin 756265 40507 5.36 219429 13760 6.27 129888.12
26 Colorado 424349 39326 9.27 121772 7546 6.20 73687.87
27 Iowa 402453 37903 9.42 118810 10186 8.57 127557.55
28 Nevada 377007 33295 8.83 118345 18055 15.26 122398.67
29 Utah 447806 32572 7.27 130238 12522 9.61 139679.31
30 Arkansas 407497 31762 7.79 130117 13022 10.01 135030.03
31 Missouri 537896 31738 5.90 189278 11522 6.09 87641.92
32 Oklahoma 465044 24140 5.19 154267 11793 7.64 117525.25
33 Nebraska 226196 22361 9.89 61194 3837 6.27 116932.93
34 Kentucky 483062 21605 4.47 132308 6746 5.10 108123.85
35 Kansas 249353 21388 8.58 81494 7926 9.73 85590.84
36 Rhode Island 179201 17793 9.93 -51307 1132 -2.21 169159.52
37 New Mexico 443368 16456 3.71 128698 5048 3.92 211446.90
38 Oregon 324195 13802 4.26 107327 5984 5.58 76864.68
39 Idaho 140319 13753 9.80 57949 8888 15.34 78300.17
40 Delaware 148610 13337 8.97 46510 2320 4.99 152613.98
42 District of Columbia 141607 11115 7.85 53484 930 1.74 200647.82
43 South Dakota 95973 7789 8.12 18958 1254 6.61 108485.87
44 New Hampshire 141786 6165 4.35 27018 494 1.83 104276.57
45 North Dakota 129475 4792 3.70 28589 1371 4.80 169900.87
46 West Virginia 222552 4783 2.15 60595 2053 3.39 124529.21
47 Maine 133445 3636 2.72 43591 534 1.23 99273.78
48 Montana 130404 2366 1.81 50243 1537 3.06 122012.24
49 Wyoming 43996 2069 4.70 12222 701 5.74 76017.82
50 Alaska 165414 1734 1.05 63622 901 1.42 226115.96
51 Hawaii 101204 1334 1.32 28199 468 1.66 71478.21
52 Vermont 79366 1334 1.68 17777 136 0.77 127191.34

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 300937 8348 2.85 165663 55.05 123377 11596 144 1.26 3.85
Tamil Nadu 165714 4807 2.99 113856 68.71 49455 2403 88 3.80 1.45
Delhi 121582 1475 1.23 101274 83.30 16711 3597 26 0.73 2.96
Karnataka 59652 4537 8.23 21776 36.51 36627 1245 93 8.07 2.09
Gujarat 47476 960 2.06 34005 71.63 11345 2126 19 0.90 4.48
Uttar Pradesh 47036 1873 4.15 28664 60.94 17264 1108 24 2.21 2.36
Andhra Pradesh 44609 3963 9.75 21763 48.79 22260 586 52 9.74 1.31
Telangana 43780 1284 3.02 30607 69.91 12764 409 6 1.49 0.93
West Bengal 40209 2198 5.78 23539 58.54 15594 1076 27 2.57 2.68
Rajasthan 28500 711 2.56 21144 74.19 6803 553 7 1.28 1.94
Haryana 25547 750 3.02 19318 75.62 5885 344 17 5.20 1.35
Bihar 24967 1667 7.15 15771 63.17 9019 177 4 2.31 0.71
Assam 22982 1117 5.11 15166 65.99 7755 58 2 3.57 0.25
Madhya Pradesh 21763 681 3.23 14864 68.30 6193 706 8 1.15 3.24
Odisha 16701 591 3.67 11937 71.47 4652 112 3 2.75 0.67
Jammu and Kashmir 13198 441 3.46 7165 54.29 5797 236 5 2.16 1.79
Kerala 11660 593 5.36 5198 44.58 6417 41 2 5.13 0.35
Punjab 9792 350 3.71 6454 65.91 3092 246 7 2.93 2.51
Jharkhand 5385 289 5.67 2656 49.32 2681 48 2 4.35 0.89
Chhattisgarh 5246 243 4.86 3658 69.73 1564 24 0 0.00 0.46
Uttarakhand 4276 174 4.24 3081 72.05 1108 52 1 1.96 1.22
Goa 3484 180 5.45 2038 58.50 1425 21 0 0.00 0.60
Tripura 2668 171 6.85 1735 65.03 914 5 2 66.67 0.19
Manipur 1891 91 5.06 1182 62.51 709 0 0 NaN 0.00
Puducherry 1890 58 3.17 1062 56.19 800 28 3 12.00 1.48
Himachal Pradesh 1457 40 2.82 1030 70.69 402 10 0 0.00 0.69
Ladakh 1159 8 0.70 985 84.99 172 2 0 0.00 0.17
Nagaland 978 22 2.30 405 41.41 573 0 0 NaN 0.00
Chandigarh 691 31 4.70 485 70.19 194 12 1 9.09 1.74
Dadra and Nagar Haveli and Daman and Diu 653 45 7.40 436 66.77 205 2 0 0.00 0.31
Arunachal Pradesh 650 41 6.73 274 42.15 373 3 0 0.00 0.46
Meghalaya 418 15 3.72 49 11.72 367 2 0 0.00 0.48
Sikkim 286 19 7.12 90 31.47 183 0 0 NaN 0.00
Mizoram 284 2 0.71 167 58.80 117 0 0 NaN 0.00
Andaman and Nicobar Islands 180 0 0.00 133 73.89 47 0 0 NaN 0.00
State Unassigned 163 -368 -69.30 0 0.00 163 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1186114 95371 55 0.06 8.04 159 22 7421 16778 17.59
Piemonte 462863 31530 8 0.03 6.81 150 6 856 4119 13.06
Emilia-Romagna 568779 29087 54 0.19 5.11 87 8 1228 4273 14.69
Veneto 1101965 19525 55 0.28 1.77 33 2 502 2047 10.48
Toscana 384826 10356 6 0.06 2.69 12 1 318 1129 10.90
Liguria 169186 10052 2 0.02 5.94 29 0 186 1565 15.57
Lazio 381039 8399 14 0.17 2.20 175 9 852 849 10.11
Marche 153879 6809 3 0.04 4.42 3 1 155 987 14.50
P.A. Trento 138920 4881 0 0.00 3.51 0 0 16 405 8.30
Campania 309290 4803 12 0.25 1.55 49 1 272 433 9.02
Puglia 211843 4547 5 0.11 2.15 12 0 70 548 12.05
Friuli Venezia Giulia 222778 3346 3 0.09 1.50 7 0 96 345 10.31
Abruzzo 117780 3334 1 0.03 2.83 17 0 119 468 14.04
Sicilia 245437 3136 4 0.13 1.28 9 0 158 283 9.02
P.A. Bolzano 94576 2682 4 0.15 2.84 6 0 101 292 10.89
Umbria 110114 1454 2 0.14 1.32 6 0 12 80 5.50
Sardegna 97058 1377 0 0.00 1.42 5 0 10 134 9.73
Calabria 108711 1231 5 0.41 1.13 6 0 69 97 7.88
Valle d’Aosta 20023 1196 0 0.00 5.97 2 0 2 146 12.21
Molise 25381 446 0 0.00 1.76 1 0 8 23 5.16
Basilicata 43697 405 0 0.00 0.93 3 0 5 27 6.67

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 57142 141 0.25 5647 1 0.02 9.88 6692.92 661.42 1 in 149
Ontario 39164 121 0.31 2790 6 0.22 7.12 2662.08 189.64 1 in 376
Alberta 9219 105 1.15 167 2 1.21 1.81 2088.99 37.84 1 in 479
British Columbia 3198 28 0.88 189 0 0.00 5.91 625.72 36.98 1 in 1598
Nova Scotia 1067 0 0.00 63 0 0.00 5.90 1091.61 64.45 1 in 916
Saskatchewan 936 13 1.41 15 0 0.00 1.60 792.10 12.69 1 in 1262
Manitoba 336 5 1.51 7 0 0.00 2.08 243.92 5.08 1 in 4100
Newfoundland and Labrador 262 0 0.00 3 0 0.00 1.15 502.53 5.75 1 in 1990
New Brunswick 168 0 0.00 2 0 0.00 1.19 215.39 2.56 1 in 4643
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 13 2 18.18 0 0 NaN 0.00 316.47 0.00 1 in 3160
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Hong Kong 1655 10 0.60
Guangdong 1650 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 793 7 0.88
Shanghai 732 7 0.96
Jiangsu 654 0 0.00
Sichuan 599 3 0.50
Chongqing 583 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 321 3 0.93
Guangxi 254 2 0.79
Inner Mongolia 249 1 0.40
Tianjin 203 3 1.48
Shanxi 201 0 0.00
Yunnan 188 2 1.06
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 164 2 1.22
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 77 3 3.90
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 11148.27 425.63 1 in 90
Brazil 9777.01 371.96 1 in 102
India 776.01 19.62 1 in 1289
Russia 5245.68 83.78 1 in 191
Peru 10740.97 397.86 1 in 93
South Africa 5951.94 84.70 1 in 168
Mexico 2564.23 296.52 1 in 390
Chile 18085.26 462.44 1 in 55
United Kingdom 4437.13 682.09 1 in 225
Iran 3319.86 169.92 1 in 301
Pakistan 1329.53 28.03 1 in 752
Spain 5577.69 609.09 1 in 179
Saudi Arabia 7463.60 73.07 1 in 134
Italy 4033.85 579.17 1 in 248
Turkey 2695.20 67.54 1 in 371
France 3163.80 450.14 1 in 316
Germany 2440.45 109.77 1 in 410
Bangladesh NA NA 1 in NA
Colombia 3711.84 128.14 1 in 269
Argentina 2694.85 49.20 1 in 371

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 220734 23377 10.59
Los Angeles California 150424 4048 2.69
Cook Illinois 97790 4765 4.87
Maricopa Arizona 91863 1374 1.50
Miami-Dade Florida 77867 1270 1.63
Harris Texas 53535 527 0.98
Nassau New York 42555 2192 5.15
Suffolk New York 42382 1993 4.70
Dallas Texas 39191 514 1.31
Broward Florida 36913 477 1.29
Westchester New York 35463 1436 4.05
Riverside California 28695 587 2.05
Orange California 28309 469 1.66
Clark Nevada 28189 518 1.84
Philadelphia Pennsylvania 28159 1665 5.91
Bexar Texas 27525 240 0.87
Wayne Michigan 24915 2774 11.13
Middlesex Massachusetts 24738 1938 7.83
Palm Beach Florida 24361 659 2.71
San Bernardino California 23238 315 1.36
Hillsborough Florida 22502 233 1.04
Orange Florida 22049 103 0.47
San Diego California 21855 465 2.13
Tarrant Texas 20907 288 1.38
Suffolk Massachusetts 20499 1030 5.02
Prince George’s Maryland 20302 719 3.54
Bergen New Jersey 19966 2033 10.18
Hudson New Jersey 19246 1497 7.78
Essex New Jersey 19111 2092 10.95
Middlesex New Jersey 17162 1397 8.14
Passaic New Jersey 17154 1234 7.19
Fairfield Connecticut 17069 1395 8.17
Travis Texas 16983 189 1.11
Mecklenburg North Carolina 16657 167 1.00
Essex Massachusetts 16632 1139 6.85
Union New Jersey 16540 1343 8.12
Montgomery Maryland 16153 766 4.74
Salt Lake Utah 15887 133 0.84
Duval Florida 15641 93 0.59
Shelby Tennessee 15632 235 1.50
Milwaukee Wisconsin 15363 404 2.63
Davidson Tennessee 15342 164 1.07
Fairfax Virginia 14731 508 3.45
Hennepin Minnesota 14348 798 5.56
Rockland New York 13775 670 4.86
Providence Rhode Island 13674 0 0.00
Franklin Ohio 13412 457 3.41
Oakland Michigan 13260 1114 8.40
Pima Arizona 13058 367 2.81
Gwinnett Georgia 12897 195 1.51
King Washington 12766 631 4.94
Worcester Massachusetts 12762 969 7.59
New Haven Connecticut 12733 1090 8.56
Pinellas Florida 12714 300 2.36
Fulton Georgia 12584 335 2.66
Marion Indiana 12484 702 5.62
Hartford Connecticut 12046 1403 11.65
Lee Florida 12043 232 1.93
Jefferson Louisiana 12030 498 4.14
District of Columbia District of Columbia 11115 577 5.19
Out of GA Georgia 10916 61 0.56
Orange New York 10908 484 4.44
El Paso Texas 10843 177 1.63
Lake Illinois 10707 432 4.03
Hidalgo Texas 10492 240 2.29
Cuyahoga Ohio 10215 407 3.98
DuPage Illinois 10013 495 4.94
Ocean New Jersey 9917 1005 10.13
Monmouth New Jersey 9636 847 8.79
Norfolk Massachusetts 9612 963 10.02
Fresno California 9565 100 1.05
Baltimore Maryland 9376 505 5.39
DeKalb Georgia 9308 187 2.01
Orleans Louisiana 9160 544 5.94
Baltimore City Maryland 9141 374 4.09
Montgomery Pennsylvania 9060 836 9.23
Yuma Arizona 9035 165 1.83
Charleston South Carolina 8971 80 0.89
Yakima Washington 8939 191 2.14
Plymouth Massachusetts 8865 693 7.82
Alameda California 8858 161 1.82
Polk Florida 8772 162 1.85
St. Louis Missouri 8739 607 6.95
Bristol Massachusetts 8637 607 7.03
Douglas Nebraska 8539 110 1.29
Imperial California 8397 156 1.86
Wake North Carolina 8354 86 1.03
Kane Illinois 8291 288 3.47
Denver Colorado 8254 398 4.82
Macomb Michigan 8211 932 11.35
Nueces Texas 8171 82 1.00
Polk Iowa 8121 188 2.31
Jefferson Alabama 8105 182 2.25
East Baton Rouge Louisiana 8044 284 3.53
Prince William Virginia 8034 161 2.00
Greenville South Carolina 8026 125 1.56
Erie New York 7982 657 8.23
Cobb Georgia 7972 260 3.26
Mercer New Jersey 7828 605 7.73
San Joaquin California 7819 83 1.06

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc